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ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
16 years 19 days ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
DATE
2010
IEEE
163views Hardware» more  DATE 2010»
15 years 11 months ago
Efficient High-Level modeling in the networking domain
-- Starting Electronic System Level (ESL) design flows with executable High-Level Models (HLMs) has the potential to sustainably improve productivity. However, writing good HLMs fo...
Christian Zebelein, Joachim Falk, Christian Haubel...
IEEEARES
2010
IEEE
15 years 8 months ago
Improving Network Intrusion Detection by Means of Domain-Aware Genetic Programming
—One of the central areas in network intrusion detection is how to build effective systems that are able to distinguish normal from intrusive traffic. In this paper we explore t...
Jorge Blasco Alís, Agustín Orfila, A...
DEXAW
2008
IEEE
136views Database» more  DEXAW 2008»
15 years 8 months ago
Segmentation of Legislative Documents Using a Domain-Specific Lexicon
The amount of legal information is continuously growing. New legislative documents appear everyday in the Web. Legal documents are produced on a daily basis in briefingformat, cont...
Ismael Hasan, Javier Parapar, Roi Blanco
HCI
2007
15 years 8 months ago
Context-Aware Information Agents for the Automotive Domain Using Bayesian Networks
To reduce the workload of the driver due to the increasing amount of information and functions, intelligent agents represent a promising possibility to filter the immense data sets...
Markus Ablaßmeier, Tony Poitschke, Stefan Re...